About the Journal

The International Journal of AI & Data Science Review

The International Journal of AI & Data Science Review is a peer-reviewed, open-access scholarly journal that focuses on publishing high-quality review articles, surveys, and critical analyses in the fields of Artificial Intelligence (AI) and Data Science. The journal serves as a comprehensive resource for researchers, professionals, and educators seeking in-depth understanding of emerging trends, methodologies, applications, and challenges in intelligent systems and data-driven technologies.

Published quarterly by Tensor Text Publications, We accepts manuscripts written in English, and is committed to academic excellence, editorial transparency, and ethical publishing.
The journal is accessible through its official website at https://tensortextpublishers.com/journals/index.php,

Scope of the Journal

welcomes state-of-the-art review papers, systematic literature reviews, and comparative studies in the following (but not limited to) areas:

  • Foundations and Trends in Artificial Intelligence

  • Machine Learning and Deep Learning Architectures

  • Data Science Methodologies and Pipelines

  • AI in Healthcare, Finance, Education, and Manufacturing

  • Natural Language Processing and Conversational AI

  • Computer Vision and Image Processing

  • Explainable AI (XAI) and Responsible AI

  • Ethics, Privacy, and Fairness in AI & Data Science

  • Big Data and Scalable Analytics

  • AI-Driven Decision Support Systems

  • Knowledge Representation and Reasoning

  • Review of Tools, Frameworks, and Platforms in AI/DS

  • Future Directions and Emerging Paradigms in AI and Data Science

Key Features

  • Quarterly Publication Schedule

  • Focus on Review and Survey Articles

  • Double-Blind Peer Review Process

  • Fully Open Access

  • DOI Assignment via Crossref

  • International Editorial & Reviewer Board

  • Strict Adherence to COPE Publishing Ethics

Vision

We aims to become a leading platform for critical insights and thought leadership in artificial intelligence and data science. By curating authoritative reviews and knowledge syntheses, the journal seeks to guide researchers, practitioners, and policy-makers in navigating the fast-evolving AI and data science landscape.